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ORCIDAnuradha Chug
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2020 – today
- 2024
[j24]Heena Kalim
, Anuradha Chug, Amit Prakash Singh:
modSwish: a new activation function for neural network. Evol. Intell. 17(4): 2637-2647 (2024)- [j23]Shradha Verma, Anuradha Chug, Amit Prakash Singh:
Revisiting activation functions: empirical evaluation for image understanding and classification. Multim. Tools Appl. 83(6): 18497-18536 (2024) - [j22]Mansi Agnihotri, Anuradha Chug:
Understanding the effect of batch refactoring on software quality. Int. J. Syst. Assur. Eng. Manag. 15(6): 2328-2336 (2024) - [j21]Mansi Agnihotri, Anuradha Chug:
Severity Factor (SF): An aid to developers for application of refactoring operations to improve software quality. J. Softw. Evol. Process. 36(5) (2024) - [j20]Shradha Verma, Anuradha Chug, Amit Prakash Singh, Dinesh Singh:
Plant Disease Detection and Severity Assessment Using Image Processing and Deep Learning Techniques. SN Comput. Sci. 5(1): 83 (2024) - 2023
- [j19]Anshul Bhatia, Anuradha Chug, Amit Prakash Singh, Dinesh Singh:
Fractional mega trend diffusion function-based feature extraction for plant disease prediction. Int. J. Mach. Learn. Cybern. 14(1): 187-212 (2023) - [j18]Priyanka Sahu, Anuradha Chug, Amit Prakash Singh, Dinesh Singh:
Classification of crop leaf diseases using image to image translation with deep-dream. Multim. Tools Appl. 82(23): 35585-35619 (2023) - [j17]Shradha Verma, Anuradha Chug, Amit Prakash Singh, Dinesh Singh:
PDS-MCNet: a hybrid framework using MobileNetV2 with SiLU6 activation function and capsule networks for disease severity estimation in plants. Neural Comput. Appl. 35(25): 18641-18664 (2023) - [j16]Anuradha Chug, Anshul Bhatia, Amit Prakash Singh, Dinesh Singh:
A novel framework for image-based plant disease detection using hybrid deep learning approach. Soft Comput. 27(18): 13613-13638 (2023) - [c13]Ayushi Gupta, Anuradha Chug, Amit Prakash Singh:
Multi-Disease Classification in In-Field Coffee Leaves Using Cost-Efficient Ensemble Classifier. ICCCNT 2023: 1-7 - 2022
- [j15]Amit Prakash Singh, Priyanka Sahu, Anuradha Chug, Dinesh Singh:
A Systematic Literature Review of Machine Learning Techniques Deployed in Agriculture: A Case Study of Banana Crop. IEEE Access 10: 87333-87360 (2022) - [j14]Shikha Gupta, Anuradha Chug:
A feature selection strategy for improving software maintainability prediction. Intell. Data Anal. 26(2): 311-344 (2022) - [j13]Anshul Bhatia, Anuradha Chug, Amit Prakash Singh, Dinesh Singh:
A hybrid approach for noise reduction-based optimal classifier using genetic algorithm: A case study in plant disease prediction. Intell. Data Anal. 26(4): 1023-1049 (2022) - 2021
- [j12]Khyati Ahlawat, Anuradha Chug, Amit Prakash Singh:
A Novel Hybrid Sampling Algorithm for Solving Class Imbalance Problem in Big Data. Adv. Data Sci. Adapt. Anal. 13(2): 2150005:1-2150005:18 (2021) - [j11]Anshul Bhatia, Anuradha Chug, Amit Prakash Singh:
Statistical analysis of machine learning techniques for predicting powdery mildew disease in tomato plants. Int. J. Intell. Eng. Informatics 9(1): 24-58 (2021) - [j10]Kirti Lakra, Anuradha Chug:
Application of metaheuristic techniques in software quality prediction: a systematic mapping study. Int. J. Intell. Eng. Informatics 9(4): 355-399 (2021) - [j9]Shikha Gupta, Anuradha Chug:
An Extensive Analysis of Machine Learning Based Boosting Algorithms for Software Maintainability Prediction. Int. J. Interact. Multim. Artif. Intell. 7(2): 89 (2021) - [j8]Deepanshu Malhotra, Anuradha Chug:
A modified label propagation algorithm for community detection in attributed networks. Int. J. Inf. Manag. Data Insights 1(2): 100030 (2021) - [j7]Anuradha Chug, Sandhya Tarwani:
Identifying the Optimal Refactoring Dependencies Using Heuristic Search Algorithms to Maximize Maintainability. Int. J. Softw. Eng. Knowl. Eng. 31(6): 803-835 (2021) - [c12]Anshul Bhatia, Anuradha Chug, Amit Prakash Singh, Dinesh Singh:
Investigate the Impact of Resampling Techniques on Imbalanced Datasets: A Case Study in Plant Disease Prediction. IC3 2021: 278-285 - [c11]Mansi Agnihotri, Anuradha Chug:
Analyzing the Relationship between Software Metrics and Bad Smells Using Critical Metric Value (CMV). IC3 2021: 450-456 - 2020
- [j6]Mansi Agnihotri, Anuradha Chug:
A Systematic Literature Survey of Software Metrics, Code Smells and Refactoring Techniques. J. Inf. Process. Syst. 16(4): 915-934 (2020) - [c10]Shradha Verma, Anuradha Chug, Amit Prakash Singh:
Impact of Hyperparameter Tuning on Deep Learning Based Estimation of Disease Severity in Grape Plant. SCDM 2020: 161-171
2010 – 2019
- 2019
- [j5]Khyati Ahlawat, Anuradha Chug, Amit Prakash Singh:
Empirical Evaluation of Map Reduce Based Hybrid Approach for Problem of Imbalanced Classification in Big Data. Int. J. Grid High Perform. Comput. 11(3): 23-45 (2019) - [j4]Khyati Ahlawat, Anuradha Chug, Amit Prakash Singh:
Benchmarking framework for class imbalance problem using novel sampling approach for big data. Int. J. Syst. Assur. Eng. Manag. 10(4): 824-835 (2019) - 2018
- [c9]Shradha Verma, Anuradha Chug, Amit Prakash Singh:
Recent Advancements in Image-Based Prediction Models for Diagnosis of Plant Diseases. CVIP (1) 2018: 365-377 - [c8]Shradha Verma, Anuradha Chug, Amit Prakash Singh:
Prediction Models for Identification and Diagnosis of Tomato Plant Diseases. ICACCI 2018: 1557-1563 - 2017
- [c7]Kanika Gupta, Anuradha Chug:
Evaluation of instance-based feature subset selection algorithm for maintainability prediction. ICACCI 2017: 1482-1487 - [c6]Anuradha Chug, Sandhya Tarwani:
Determination of optimum refactoring sequence using A∗ algorithm after prioritization of classes. ICACCI 2017: 1624-1630 - [c5]Anuradha Chug, Monika Gupta:
A quality enhancement through defect reduction using refactoring operation. ICACCI 2017: 1869-1875 - 2016
- [j3]Ruchika Malhotra, Anuradha Chug:
Software Maintainability: Systematic Literature Review and Current Trends. Int. J. Softw. Eng. Knowl. Eng. 26(8): 1221-1254 (2016) - [j2]Sandhya Tarwani, Anuradha Chug:
Agile Methodologies in Software Maintenance: A Systematic Review. Informatica (Slovenia) 40(4) (2016) - [c4]Ruchika Malhotra, Anuradha Chug:
An empirical study to assess the effects of refactoring on software maintainability. ICACCI 2016: 110-117 - [c3]Sandhya Tarwani, Anuradha Chug:
Sequencing of refactoring techniques by Greedy algorithm for maximizing maintainability. ICACCI 2016: 1397-1403 - 2015
- [c2]Ruchika Malhotra, Anuradha Chug, Priyanka Khosla:
Prioritization of Classes for Refactoring: A Step towards Improvement in Software Quality. WCI 2015: 228-234 - 2014
- [j1]Ruchika Malhotra, Anuradha Chug:
Application of Group Method of Data Handling model for software maintainability prediction using object oriented systems. Int. J. Syst. Assur. Eng. Manag. 5(2): 165-173 (2014) - [c1]Ruchika Malhotra, Anuradha Chug:
Application of Evolutionary Algorithms for Software Maintainability Prediction using Object-Oriented Metrics. BICT 2014
Coauthor Index
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last updated on 2024-10-07 21:18 CEST by the dblp team
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